ArmNN
 20.08
FillTestImpl.hpp File Reference

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Functions

template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
LayerTestResult< T, 4 > SimpleFillTest (armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)
 

Function Documentation

◆ SimpleFillTest()

LayerTestResult<T, 4> SimpleFillTest ( armnn::IWorkloadFactory workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr memoryManager 
)

Definition at line 15 of file FillTestImpl.cpp.

References ARMNN_NO_DEPRECATE_WARN_BEGIN, ARMNN_NO_DEPRECATE_WARN_END, CopyDataFromITensorHandle(), CopyDataToITensorHandle(), IWorkloadFactory::CreateFill(), IWorkloadFactory::CreateTensorHandle(), armnn::IgnoreUnused(), QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters, FillDescriptor::m_Value, LayerTestResult< T, n >::output, LayerTestResult< T, n >::outputExpected, and armnn::Signed32.

18 {
19  IgnoreUnused(memoryManager);
20  armnn::TensorInfo inputTensorInfo({4}, armnn::DataType::Signed32);
21  armnn::TensorInfo outputTensorInfo({2, 2, 3, 2}, ArmnnType);
22 
23  auto input = MakeTensor<int32_t, 1>(inputTensorInfo, ConvertToDataType<armnn::DataType::Signed32>(
24  {2, 2, 3, 2},
25  inputTensorInfo));
26 
27  LayerTestResult<T, 4> ret(outputTensorInfo);
28  ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, ConvertToDataType<ArmnnType>(
29  { 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f,
30  1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.0f },
31  outputTensorInfo));
32 
34  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
35  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
37 
39  data.m_Parameters.m_Value = 1.0f;
41  AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
42  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
43 
44  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFill(data, info);
45 
46  inputHandle->Allocate();
47  outputHandle->Allocate();
48 
49  CopyDataToITensorHandle(inputHandle.get(), &input[0]);
50 
51  workload->Execute();
52 
53  CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
54 
55  return ret;
56 }
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
void IgnoreUnused(Ts &&...)
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0
virtual std::unique_ptr< IWorkload > CreateFill(const FillQueueDescriptor &descriptor, const WorkloadInfo &info) const
Contains information about inputs and outputs to a layer.
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)